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Pay-Performance Slope (W6)

Normalized slope of total cash against performance rating within a comparable (function×level) group: 0 = pay is flat across performance (non-differentiation — the W6 reallocatable-waste signal, bonus dollars flowing to low performers), ~1 = a full standard differentiation grid. Steep slope funds differentiation but, unbudgeted, becomes a cost signal.

How it’s computed

normalized_slope(total_cash ~ performance_rating | function×level)

What the evidence shows

Evidence (effect sizes, priors, validity) is syncing from Principia.

What this metric can show you

Pay-Performance Slope (W6) can tell roughly 22 pre-built stories — each a designed scene the data either confirms or it doesn’t. Bring your numbers and the Story Finder runs every one of these shapes against them.

specific to compensation & benefits

ABCDE

A real gradient — now ask if it's pointed at value

compensation · T1

ABCDE

Below the market, across the board

compensation · T1

ABCDE

One group sits apart on a decision that should be neutral

fairness-equity · T1

Pay is drifting from plan

compensation · T1

universal shapes — any single metric can take these

A few large values are doing the talking

any focus · T1

A one-time event, not a trend

any focus · T1

It doesn't track — the premise is false

any focus · T1

ABCDE

It's concentrated — one group stands apart

any focus · T1

Scenes are pre-built; your data is the toggle. Browse the full deck or watch one play end-to-end in The Quiet Exodus.

Run it on your data

This metric is computed in the People Analytics Toolbox on your own numbers. See pricing — posted, no quotes.

sources: toolbox:metrics-catalog